package com.zzyl.serve.service.impl;

import java.time.LocalDateTime;
import java.util.List;

import cn.hutool.core.date.DateUtil;
import cn.hutool.json.JSONUtil;
import com.alibaba.fastjson2.JSON;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.zzyl.common.ai.AIModelInvoker;
import com.zzyl.common.core.domain.AjaxResult;

import com.zzyl.common.utils.PDFUtil;
import com.zzyl.common.utils.StringUtils;
import com.zzyl.oss.AliyunOSSOperator;
import com.zzyl.serve.domain.Elder;
import com.zzyl.serve.dto.HealthAssessmentDto;
import com.zzyl.serve.service.IElderService;
import com.zzyl.serve.util.IDCardUtils;
import com.zzyl.serve.vo.HealthReportVo;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import com.zzyl.serve.mapper.HealthAssessmentMapper;
import com.zzyl.serve.domain.HealthAssessment;
import com.zzyl.serve.service.IHealthAssessmentService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import org.springframework.web.multipart.MultipartFile;

import java.util.Arrays;

import static com.zzyl.common.constant.RedisKeyConstants.HEALTH_ASSESSMENT_KEY;

/**
 * 健康评估Service业务层处理
 * 
 * @author jia
 * @date 2025-05-04
 */
@Service
public class HealthAssessmentServiceImpl extends ServiceImpl<HealthAssessmentMapper, HealthAssessment> implements IHealthAssessmentService {
    @Autowired
    private HealthAssessmentMapper healthAssessmentMapper;
    @Autowired
    private AliyunOSSOperator aliyunOSSOperator;

    @Autowired
    private RedisTemplate redisTemplate;
    @Autowired
    private AIModelInvoker aiModelInvoker;
    @Autowired
    private IElderService elderService;
    /**
     * 查询健康评估
     *
     * @param id 健康评估主键
     * @return 健康评估
     */
    @Override
    public HealthAssessment selectHealthAssessmentById(Long id) {
        return getById(id);
    }

    /**
     * 查询健康评估列表
     *
     * @param healthAssessment 健康评估
     * @return 健康评估
     */
    @Override
    public List<HealthAssessment> selectHealthAssessmentList(HealthAssessment healthAssessment) {
        return healthAssessmentMapper.selectHealthAssessmentList(healthAssessment);
    }



    /**
     * 新增健康评估
     *
     * @param healthAssessment 健康评估
     * @return 结果
     */
    @Override
    public Long insertHealthAssessment(HealthAssessmentDto dto) {
        //先判断是否有体检内容
        String key=HEALTH_ASSESSMENT_KEY + dto.getIdCard();
        String text = (String) redisTemplate.opsForValue().get(key);
        if(StringUtils.isEmpty(text)){
            //体检内容为null抛出异常
            throw new RuntimeException("体检内容为空");
        }
        //1. 设计prompt：（结合Redis中的内容 + 模板 得到prompt）
        String prompt ="请以一个专业医生的视角来分析这份体检报告，报告中包含了一些异常数据，我需要您对这些数据进行解读，并给出相应的健康建议。\n" +
                "体检内容如下：\n" +
                text
                + "\n" +
                "要求：\n" +
                "1. 提取体检报告中的“总检日期”；\n" +
                "2. 通过临床医学、疾病风险评估模型和数据智能分析，给该用户的风险等级和健康指数给出结果。风险等级分为：健康、提示、风险、危险、严重危险。健康指数范围为0至100分；\n" +
                "3. 根据用户身体各项指标数据，详细说明该用户各项风险等级的占比是多少，最多保留两位小数。结论格式：该用户健康占比20.00%，提示占比20.00%，风险占比20%，危险占比20%，严重危险占比20%；\n" +
                "4. 对于体检报告中的异常数据，请列出（异常数据的结论、体检项目名称、检查结果、参考值、单位、异常解读、建议）这8字段。解读异常数据，解决这些数据可能代表的健康问题或风险。分析可能的原因，包括但不限于生活习惯、饮食习惯、遗传因素等。基于这些异常数据和可能的原因，请给出具体的健康建议，包括饮食调整、运动建议、生活方式改变以及是否需要进一步检查或治疗等。\n" +
                "结论格式：异常数据的结论：肥胖，体检项目名称：体重指数BMI，检查结果：29.2，参考值>24，单位：-。异常解读：体重超标包括超重与肥胖。体重指数（BMI）=体重（kg）/身⾼（m）的平⽅，BMI≥24为超重，BMI≥28为肥胖；男性腰围≥90cm和⼥性腰围≥85cm为腹型肥胖。体重超标是⼀种由多因素（如遗传、进⻝油脂较多、运动少、疾病等）引起的慢性代谢性疾病，尤其是肥胖，已经被世界卫⽣组织列为导致疾病负担的⼗⼤危险因素之⼀。AI建议：采取综合措施预防和控制体重，积极改变⽣活⽅式，宜低脂、低糖、⾼纤维素膳⻝，多⻝果蔬及菌藻类⻝物，增加有氧运动。若有相关疾病（如⾎脂异常、⾼⾎压、糖尿病等）应积极治疗。\n" +
                "5. 根据这个体检报告的内容，分别给人体的8大系统打分，每项满分为100分，8大系统分别为：呼吸系统、消化系统、内分泌系统、免疫系统、循环系统、泌尿系统、运动系统、感官系统\n" +
                "6. 给体检报告做一个总结，总结格式：体检报告中尿蛋⽩、癌胚抗原、⾎沉、空腹⾎糖、总胆固醇、⽢油三酯、低密度脂蛋⽩胆固醇、⾎清载脂蛋⽩B、动脉硬化指数、⽩细胞、平均红细胞体积、平均⾎红蛋⽩共12项指标提示异常，尿液常规共1项指标处于临界值，⾎脂、⾎液常规、尿液常规、糖类抗原、⾎清酶类等共43项指标提示正常，综合这些临床指标和数据分析：肾脏、肝胆、⼼脑⾎管存在隐患，其中⼼脑⾎管有“⾼危”⻛险；肾脏部位有“中危”⻛险；肝胆部位有“低危”⻛险。\n" +
                "\n" +
                "输出要求：\n" +
                "最后，将以上结果输出为JSON格式，不要包含其他的文字说明，所有的返回结果都是json，详细格式如下：\n" +
                "\n" +
                "{\n" +
                "  \"totalCheckDate\": \"YYYY-MM-DD\",\n" +
                "  \"healthAssessment\": {\n" +
                "    \"riskLevel\": \"healthy/caution/risk/danger/severeDanger\",\n" +
                "    \"healthIndex\": XX.XX\n" +
                "  },\n" +
                "  \"riskDistribution\": {\n" +
                "    \"healthy\": XX.XX,\n" +
                "    \"caution\": XX.XX,\n" +
                "    \"risk\": XX.XX,\n" +
                "    \"danger\": XX.XX,\n" +
                "    \"severeDanger\": XX.XX\n" +
                "  },\n" +
                "  \"abnormalData\": [\n" +
                "    {\n" +
                "      \"conclusion\": \"异常数据的结论\",\n" +
                "      \"examinationItem\": \"体检项目名称\",\n" +
                "      \"result\": \"检查结果\",\n" +
                "      \"referenceValue\": \"参考值\",\n" +
                "      \"unit\": \"单位\",\n" +
                "      \"interpret\":\"对于异常的结论进一步详细的说明\",\n" +
                "      \"advice\":\"针对于这一项的异常，给出一些健康的建议\"\n" +
                "    }\n" +
                "  ],\n" +
                "  \"systemScore\": {\n" +
                "    \"breathingSystem\": XX,\n" +
                "    \"digestiveSystem\": XX,\n" +
                "    \"endocrineSystem\": XX,\n" +
                "    \"immuneSystem\": XX,\n" +
                "    \"circulatorySystem\": XX,\n" +
                "    \"urinarySystem\": XX,\n" +
                "    \"motionSystem\": XX,\n" +
                "    \"senseSystem\": XX\n" +
                "  },\n" +
                "  \"summarize\": \"体检报告的总结\"\n" +
                "}";
        //2. 调用千帆大模型进行请求
        String result = aiModelInvoker.qianfanInvoker(prompt);
        //3. 解析返回的json数据，使用vo接收，
        // Ai解析后是字符串，在将字符串解析成json对象，分别写到vo中
        //将解析得数据都封装到vo中
        HealthReportVo healthReportVo = JSONUtil.toBean(result, HealthReportVo.class);
        //4. 封装数据需要 HealthAssessment 对象属性
        HealthAssessment healthAssessment = new HealthAssessment();
        //把相同字段属性得值直接拷贝
        BeanUtils.copyProperties(dto, healthAssessment);
        //封装出生日期，年龄，性别，总检日期，
        healthAssessment.setIdCard(dto.getIdCard());
        healthAssessment.setAge(IDCardUtils.getAgeByIdCard(dto.getIdCard()));
        healthAssessment.setGender(IDCardUtils.getGenderFromIdCard(dto.getIdCard()));
//        healthAssessment.setBirthDate(IDCardUtils.getBirthDateByIdCard(dto.getIdCard()));
        healthAssessment.setBirthDate(IDCardUtils.getBirthDateByIdCard(dto.getIdCard()));
        //直接从Ai数据中获取，赋值 封装健康评分，危险等级，评估时间，报告总结，疾病风险，异常分析，系统评分
        healthAssessment.setTotalCheckDate(healthReportVo.getTotalCheckDate());
        healthAssessment.setHealthScore(healthReportVo.getHealthAssessment().getHealthIndex()+"");
        healthAssessment.setRiskLevel(healthReportVo.getHealthAssessment().getRiskLevel());
        healthAssessment.setAssessmentTime(LocalDateTime.now());
        healthAssessment.setReportSummary(healthReportVo.getSummarize());
        //疾病分线存储得是一组数据，字符串可以存储json格式，风险包含多个数据，写成json格式存储
        healthAssessment.setDiseaseRisk(JSONUtil.toJsonStr(healthReportVo.getRiskDistribution()));
        healthAssessment.setAbnormalAnalysis(JSONUtil.toJsonStr(healthReportVo.getAbnormalData()));
        healthAssessment.setSystemScore(JSONUtil.toJsonStr(healthReportVo.getSystemScore()));
        //从ai得到数据，进行处理在赋值 入住建议，护理等级，入住情况
        //判断健康分数<=60，建议入住，大于60，不建议入住
        if (healthAssessment.getHealthScore().compareTo("60")<0) {
            //不建议入住
            healthAssessment.setSuggestionForAdmission(1);
            throw new RuntimeException("不建议入住");
        }else{
            healthAssessment.setSuggestionForAdmission(0);
        }
        //创建一个方法分配护理等级，健康评分在0-100之间，>=60特级护理，>=70一级护理，>=80二级护理，>=90三级护理
        healthAssessment.setNursingLevelName(getNursingLevelName(healthAssessment.getHealthScore()));
        //根据身份证号查询老人信息，状态为1
        LambdaQueryWrapper<Elder> elderLambdaQueryWrapper = new LambdaQueryWrapper<>();
        elderLambdaQueryWrapper.eq(Elder::getIdCardNo, dto.getIdCard());
        elderLambdaQueryWrapper.eq(Elder::getStatus, 1);
        Long count = elderService.count(elderLambdaQueryWrapper);
        if (count>0){
            healthAssessment.setAdmissionStatus(0);
        }else {
            healthAssessment.setAdmissionStatus(1);
        }

        //5. 调用mapper进行插入
        healthAssessmentMapper.insert(healthAssessment);
        //6. 数据库体检评测保存成功后，可以删除Redis缓存的体检信息：
        redisTemplate.delete(key);
        //7. 返回id进行响应
        return healthAssessment.getId();
    }

    private String getNursingLevelName(String healthScore) {
        // 判断健康评分在0-100之间，>=60特级护理，>=70一级护理，>=80二级护理，>=90三级护理
        if (healthScore.compareTo("60")>=0 && healthScore.compareTo("100")<=0) {
            return "特级护理";
        } else if (healthScore.compareTo("70")>=0 && healthScore.compareTo("100")<=0) {
            return "一级护理";
        } else if (healthScore.compareTo("80")>=0 && healthScore.compareTo("100")<=0) {
            return "二级护理";
        } else if (healthScore.compareTo("90")>=0 && healthScore.compareTo("100")<=0) {
            return "三级护理";
        }
        return "不建议入住";
    }

    /**
     * 修改健康评估
     *
     * @param healthAssessment 健康评估
     * @return 结果
     */
    @Override
    public int updateHealthAssessment(HealthAssessment healthAssessment) {
        return updateById(healthAssessment) ? 1 : 0;
    }

    /**
     * 批量删除健康评估
     *
     * @param ids 需要删除的健康评估主键
     * @return 结果
     */
    @Override
    public int deleteHealthAssessmentByIds(Long[] ids) {
        return removeByIds(Arrays.asList(ids)) ? 1 : 0;
    }

    /**
     * 删除健康评估信息
     *
     * @param id 健康评估主键
     * @return 结果
     */
    @Override
    public int deleteHealthAssessmentById(Long id) {
        return removeById(id) ? 1 : 0;
    }




    @Override
    public AjaxResult upload(String idCardNo, MultipartFile file) {
        //存储到oss中
        try {
            String url = aliyunOSSOperator.upload(file.getBytes(), file.getOriginalFilename());
            //读取文件内容,获得文件内容
            String text = PDFUtil.pdfToString(file.getInputStream());
            // 3. 存入redis， key:idCardNo,  value: text
            /*String key = HEALTH_ASSESSMENT_KEY + idCardNo;*/
            //使用common模块中得常量设置主键
            String key = HEALTH_ASSESSMENT_KEY + idCardNo;
            redisTemplate.opsForValue().set(key, text);
            AjaxResult ajaxResult =AjaxResult.success();
            ajaxResult.put("url", url);
            ajaxResult.put("fileName", url);
            ajaxResult.put("originalFilename", file.getOriginalFilename());

            return ajaxResult;

        } catch (Exception e) {
            throw new RuntimeException(e);
        }

    }
}
